By Russell H. Taylor (auth.), Elpida Keravnou, Catherine Garbay, Robert Baud, Jeremy Wyatt (eds.)
This publication constitutes the refereed lawsuits of the sixth convention on synthetic Intelligence in medication Europe, AIME'97, held in Grenoble, France, in March 1997.
The quantity offers 33 revised complete papers chosen from a complete of eighty two submissions; additionally integrated are 3 invited shows and 25 posters. The papers are geared up in topical sections on protocols and guidance, wisdom acquisition and studying, decision-support theories, diagnostic challenge fixing, probabilistic versions and fuzzy good judgment, temporal reasoning and making plans, normal language and terminology, snapshot and sign processing, and hybrid and cooperative systems.
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Extra resources for Artificial Intelligence in Medicine: 6th Conference on Artificial Intelligence in Medicine Europe, AIME'97 Grenoble, France, March 23–26, 1997 Proceedings
From the deﬁnition. ⇒ (• α + β • , α) ≈ (• β + α• , β). Similarity of Generalized Resources in Petri Nets ✎☞ ✍✌ ✲ a p1 ✲ ✍✌ ✲ a p4 ✲ b ✍✌ p2 t1 ✎☞ ✎☞ ✲ ✎☞ ✍✌ ✲ c ✎☞ ✍✌ p3 t2 p5 t3 ✲ ✲ t4 33 ✎☞ (p1 + p5 , t1 ) ≈ (p2 + p4 , t3 ) (p3 , ∅) ≈ (p6 , ∅) ✍✌ p6 a) interchangeable resources; ✛ a ✎☞ ✛ ✛ ✲ a ✲ ✍✌ p1 t1 (p1 , t1 ) ≈ (p1 , t2 ) (2p1 , t1 ) ≈ (2p1 , t2 ) t2 b) equivalent activities; ✎☞ ✍✌ ✲ a p1 ✲ ✎☞ ✛ ✲ b ✍✌ (p1 , ∅) ≈ (p1 + p2 , ∅) (p1 , t1 ) ≈ (p1 + p2 , t1 ) p2 t1 t2 c) equivalent materials; ✎☞ ✲ ✑ a ✸ ✍✌ ✑ ❙ ✎☞ p2 t1 ❙ ✑ ❙ ✍✌ ◗ ❙ p1 ◗ ✇✎☞ ✲ s a ◗ ✍✌ (p1 , t1 ) ≈ (p1 + p2 , t2 ) p3 t2 d) more eﬀective activity; a t1 ✛ ✎☞ ✲ ✍✌ p1 (p1 , t1 ) ≈ (2p1 , t1 ) (p1 , ∅) ≈ (2p1 , ∅) (∅, ∅) ≈ (p1 , ∅) e) removable and redundant materials.
Next, deﬁne the functor T Pr : MDom → TPES, extending the functor Pr from  in the following manner. Definition 4. For a marked domain (D, m) ∈ |MDom|, define T Pr(D, m) = (S P 0 , · ) with S = Pr(D).
It is a ﬁnite union of linear sets. Let P and T be disjoint sets of places and transitions and let F : (P × T ) ∪ (T × P ) → Nat. Then N = (P, T, F ) is a Petri net. A marking in a Petri net is a function M : P → Nat, mapping each place to some natural number (possibly zero). Thus a marking may be considered as a multiset over the set of places. Pictorially, P -elements are represented by circles, T -elements by boxes, and the ﬂow relation F by directed arcs. Places may carry tokens represented by ﬁlled circles.
Artificial Intelligence in Medicine: 6th Conference on Artificial Intelligence in Medicine Europe, AIME'97 Grenoble, France, March 23–26, 1997 Proceedings by Russell H. Taylor (auth.), Elpida Keravnou, Catherine Garbay, Robert Baud, Jeremy Wyatt (eds.)